About
I'm a senior systems and software test automation engineer with a dual CS/Statistics background, currently pursuing a master's in data analytics at Georgia Tech. My work centers on designing automation architecture and blackbox testing complex systems: I drive them with automated inputs, collect the resulting system data, and run job-queued analysis pipelines to validate behavior in a defense engineering environment, where a physics minor sharpened my focus on measurement. I also mentor other engineers on automation practices and architecture, and I'm confident in this work and enjoy its breadth. Beyond that, I'm growing increasingly interested in applying that same rigor to data engineering, machine learning, and data science.
Key Skills
Data Engineering
ML & Statistics
Software Engineering
Frontend Design
Platforms & Tooling
What I'm Looking For
I'm open to three kinds of roles:
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Test Automation
Blackbox testing via automated inputs, system data collection, and job-queued result analysis. It's what I do now, and I enjoy its breadth.
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Data Engineering
Data pipelines and scale, which I find compelling from a systems-design perspective: building the infrastructure data actually moves through.
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Machine Learning & Data Science
More analytical: understanding data and drawing meaningful conclusions from it through advanced math models like deep learning, transformers, and PCA.
In any case, I'm especially drawn to domains where the stakes make rigor non-negotiable: defense, aerospace, and scientific or research computing. If that's what you're building, I'd love to connect.